With increased generation of high-resolution sequence-based “Omics” data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications.

Cremona, M. A., Pini, A., Cumbo, F., Makova, K. D., Chiaromonte, F., Vantini, S., IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales, <<BIOINFORMATICS>>, 2018; 34 (13): 2289-2291. [doi:10.1093/bioinformatics/bty090] [http://hdl.handle.net/10807/119805]

IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales

Pini, Alessia;
2018

Abstract

With increased generation of high-resolution sequence-based “Omics” data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications.
2018
Inglese
Cremona, M. A., Pini, A., Cumbo, F., Makova, K. D., Chiaromonte, F., Vantini, S., IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales, <<BIOINFORMATICS>>, 2018; 34 (13): 2289-2291. [doi:10.1093/bioinformatics/bty090] [http://hdl.handle.net/10807/119805]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/119805
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